面向多服务对象的机场飞行区作业车辆运行热点识别OA

With the increasing demand for air transportation,the operation of flight area operating vehicles at airports presents significant spatial heterogeneity,leading to severe challenges in their operation management.A multi-dimensional evaluation indicator system of hotspots of flight area operating vehicles is constructed by combining three dimensions of complex network theory,ground traffic characteristics and airport operation efficiency.Based on this,a hotspot recognition model for the operation of flight area operating vehicles at the airport is innovatively established,and the hot index evaluation and hotspot recognition are realized.The study selected all operating vehicles,operating ve-hicles for multi-service objects("aircraft","people"and"cargo")and their affiliated vehicles,totaling 14 types of re-search subjects,for empirical analysis.It shows that the activity areas of operating vehicles for different service objects are closely related to the spatial distribution of their service objects and consistent with the recognized hotspots.The re-sults are expected to provide a scientific theoretical basis for the operation and scheduling of operating vehicles in the airport flight area.